Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine Translation. - Mehrad Moradshahi; Giovanni Campagna; Sina J. Semnani; Silei Xu; Monica S. Lam (EMNLP (1), 2020)

AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data. - Silei Xu; Sina J. Semnani; Giovanni Campagna; Monica S. Lam (EMNLP (1), 2020)

Revisiting the Open-Domain Question Answering Pipeline. - Sina J. Semnani; Manish Pandey (CoRR, 2020)

State-Machine-Based Dialogue Agents with Few-Shot Contextual Semantic Parsers. - Giovanni Campagna; Sina J. Semnani; Ryan Kearns; Lucas Jun Koba Sato; Monica S. Lam (CoRR, 2020)

A Few-Shot Semantic Parser for Wizard-of-Oz Dialogues with the Precise ThingTalk Representation. - Giovanni Campagna; Sina J. Semnani; Ryan Kearns; Lucas Jun Koba Sato; Silei Xu; Monica Lam 001 (ACL (Findings), 2022)

ThingTalk: An Extensible, Executable Representation Language for Task-Oriented Dialogues. - Monica S. Lam; Giovanni Campagna; Mehrad Moradshahi; Sina J. Semnani; Silei Xu (CoRR, 2022)

X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents. - Mehrad Moradshahi; Tianhao Shen; Kalika Bali; Monojit Choudhury; Gaël de Chalendar; Anmol Goel; Sungkyun Kim; Prashant Kodali; Ponnurangam Kumaraguru; Nasredine Semmar; Sina J. Semnani; Jiwon Seo 002; et al. (ACL (Findings), 2023)

Zero and Few-Shot Localization of Task-Oriented Dialogue Agents with a Distilled Representation. - Mehrad Moradshahi; Sina J. Semnani; Monica Lam 001 (EACL, 2023)

WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia. - Sina J. Semnani; Violet Z. Yao; Heidi C. Zhang; Monica S. Lam (EMNLP (Findings), 2023)

Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata. - Silei Xu; Shicheng Liu; Theo Culhane; Elizaveta Pertseva; Meng-Hsi Wu; Sina J. Semnani; Monica S. Lam (EMNLP, 2023)

Complementing GPT-3 with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata. - Silei Xu; Theo Culhane; Meng-Hsi Wu; Sina J. Semnani; Monica S. Lam (CoRR, 2023)

WikiChat: A Few-Shot LLM-Based Chatbot Grounded with Wikipedia. - Sina J. Semnani; Violet Z. Yao; Heidi C. Zhang; Monica S. Lam (CoRR, 2023)

SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models. - Shicheng Liu; Jialiang Xu; Wesley Tjangnaka; Sina J. Semnani; Chen Jie Yu; Gui Dávid; Monica S. Lam (CoRR, 2023)

SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing. - Heidi C. Zhang; Sina J. Semnani; Farhad Ghassemi; Jialiang Xu; Shicheng Liu; Monica S. Lam (ACL (Findings), 2024)

Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval. - Kazuaki Furumai; Roberto Legaspi; Julio Romero; Yudai Yamazaki; Yasutaka Nishimura; Sina J. Semnani; Kazushi Ikeda; Weiyan Shi; Monica S. Lam (EMNLP (Findings), 2024)

Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations. - Yucheng Jiang; Yijia Shao; Dekun Ma; Sina J. Semnani; Monica S. Lam (EMNLP, 2024)

SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questions. - Shicheng Liu; Sina J. Semnani; Harold Triedman; Jialiang Xu; Isaac Dan Zhao; Monica S. Lam (EMNLP (Findings), 2024)

SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models. - Shicheng Liu; Jialiang Xu; Wesley Tjangnaka; Sina J. Semnani; Chen Jie Yu; Monica Lam 001 (NAACL-HLT (Findings), 2024)

Benchmark Underestimates the Readiness of Multi-lingual Dialogue Agents. - Andrew H. Lee; Sina J. Semnani; Galo Castillo-López; Gaël de Chalendar; Monojit Choudhury; Ashna Dua; Kapil Rajesh Kavitha; Sungkyun Kim; Prashant Kodali; Ponnurangam Kumaraguru; Alexis Lombard; Mehrad Moradshahi; et al. (CoRR, 2024)

Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval. - Kazuaki Furumai; Roberto Legaspi; Julio Vizcarra; Yudai Yamazaki; Yasutaka Nishimura; Sina J. Semnani; Kazushi Ikeda; Weiyan Shi; Monica S. Lam (CoRR, 2024)

LEMONADE: A Large Multilingual Expert-Annotated Abstractive Event Dataset for the Real World. - Sina J. Semnani; Pingyue Zhang; Wanyue Zhai; Haozhuo Li; Ryan Beauchamp; Trey Billing; Katayoun Kishi; Manling Li; Monica S. Lam (ACL (Findings), 2025)